Work Description

Title: Maintaining repositories, databases, and digital collections in memory institutions: an integrative review supplement data Open Access Deposited

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Attribute Value
Methodology
  • This data is the results of a literature review of database migrations and maintenance in Library, Archives, and Museums (LAMs). We qualitatively coded 75 articles from 58 publication venues. The results of those codes have been standardized in the attached dataset.
Description
  • This dataset is the results from qualitatively coding the 76 articles that represent the dataset from our literature review. We categorized papers according to their approach (case study, other research project, position paper), setting (library, museum, research lab), and publication domain (library information science, computer science, domain publication, other). We also coded for the focus of the paper, and whether motivating needs were listed as a reason for migration.
Creator
Depositor
  • arayburn@umich.edu
Contact information
Discipline
Funding agency
  • Other Funding Agency
Other Funding agency
  • Institute for Museum and Library Services (IMLS)
ORSP grant number
  • HUM00212193
Date coverage
  • 2021-05 to 2022-05
Citations to related material
  • Thomer, AK, Starks, JS, Rayburn, A, Lenard, M. Maintaining repositories, databases, and digital collections in memory institutions: an integrative review. Accepted at the 85th Annual Association for Information Science and Technology.
Resource type
Last modified
  • 11/24/2022
Published
  • 06/22/2022
Language
DOI
  • https://doi.org/10.7302/5hr4-j779
License
To Cite this Work:
Thomer, A. K., Starks, J. R., Rayburn, A., Lenard, M. (2022). Maintaining repositories, databases, and digital collections in memory institutions: an integrative review supplement data [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/5hr4-j779

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Files (Count: 2; Size: 64.7 KB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
supplement_table.xlsx 2022-06-06 2022-06-06 52.5 KB Open Access
supplement_table_read_me.docx 2022-06-22 2022-06-22 12.1 KB Open Access

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